Graphene nanowalls for high-performance chemotherapeutic drug sensing and anti-fouling properties

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Chemical space maps help visualize similarities within molecular sets. However, there are many different molecular similarity measures resulting in a confusing number of possible comparisons. To overcome this limitation, we exploit the fact that tools desi ...

The present invention relates to 6-diazo-5-oxo-L-norleucine prodrugs having reduced toxicity and increased tumor specificity and to their therapeutic use for treating cancer. ...

Lung cancer is the leading cause of cancer-related deaths worldwide and the most common lung cancer subtype is lung adenocarcinoma (LUAD). Frequently mutated genes involve activating mutations in KRAS and loss of function mutations in TP53. LUADs primarily ...

Retinoblastoma is the most common pediatric eye cancer. It is currently treated with a limited number of drugs, adapted from other pediatric cancer treatments. Drug toxicity and relapse of the disease warrant new therapeutic strategies for these young pati ...

In the era of precision medicine, there is increasing evidence that conventional cytotoxic agents may be suitable candidates for therapeutic drug monitoring (TDM)- guided drug dosage adjustments and patient's tailored personalization of non-selective chemo ...

G-protein-coupled receptors (GPCRs) are key regulators of human physiology and are the targets of many small-molecule research compounds and therapeutic drugs. While most of these ligands bind to their target GPCR with high affinity, selectivity is often l ...

Developments in computational omics technologies have provided new means to access the hidden diversity of natural products, unearthing new potential for drug discovery. In parallel, artificial intelligence approaches such as machine learning have led to e ...

Newer solid-phase peptide synthesis and release strategies enable the production of short peptides with high purity, allowing direct screening for desired bioactivity without prior chromatographic purification. However, the maximum number of peptides that ...

The development of immune checkpoint inhibitors (ICIs) has revolutionized cancer therapy but only a fraction of patients benefits from this therapy. Model-informed drug development can be used to assess prognostic and predictive clinical factors or biomark ...

ABCG2 is an ATP-binding cassette transporter that exports a wide range of xenobiotic compounds and has been recognized as a contributing factor for multidrug resistance in cancer cells. Substrate and inhibitor interactions with ABCG2 have been extensively ...

Electrochemical sensors play a pivotal role in advancing therapeutic drug monitoring (TDM) and personalized therapy. However, the insufficient selectivity of electrochemical sensors based on cytochromes P450 poses a great need for innovative machine learni ...

Tungsten diselenide (WSe2) is a 2D semiconducting material, promising for novel optoelectronic and phononic applications. WSe2 has complex lattice dynamics and phonon structure. Numerous discrepancies in the literature exist regarding the interpretation an ...

The mechanisms underlying the multistep process of tumorigenesis can be distilled into a logical framework involving the acquisition of functional capabilities, the so-called hallmarks of cancer, which are collectively envisaged to be necessary for maligna ...

Metastasis is the process by which cancer cells from the primary tumor travel through the blood stream to generate a secondary tumor site in a distant organ. Although very few cells are able to make this journey, the resulting effects are dire since most c ...

Photodynamic therapy (PDT) is an interesting and promising approach to tackle a broad spectrum of cancer. With the combination of a photosensitizer, light and oxygen, PDT achieves a unique selectivity by the production of localized reactive oxygen species ...

The application of computational biology in drug development for membrane protein targets has experienced a boost from recent developments in deep learning-driven structure prediction, increased speed and resolution of structure elucidation, machine learni ...

Our understanding of quantum materials is commonly based on precise determinations of their electronic spectrum by spectroscopic means, most notably angle-resolved photoemission spectroscopy (ARPES) and scanning tunneling microscopy. Both require atomicall ...

Pulmonary nodules and masses are crucial imaging features in lung cancer screening that require careful management in clinical diagnosis. Despite the success of deep learning-based medical image segmentation, the robust performance on various sizes of lesi ...

On-surface synthesis has become a prominent method for growing low-dimensional carbon-based nanomaterials on metal surfaces. However, the necessity of decoupling organic nanostructures from metal substrates to exploit their properties requires either trans ...

Simple Summary Invasive lobular carcinoma (ILC) is the second most common histologic subtype of breast cancer and is often detected at an advanced stage. Up to 30% of ILC cases relapse and present a challenge for treatment. Unfortunately, there are few mod ...

Graphene nanowalls for high-performance chemotherapeutic drug sensing and anti-fouling properties

Chattez avec Graph Search

Alchemical analysis of FDA approved drugs

6-diazo-5-oxo-l-norleucine prodrugs

The role of LRRK2 in lung adenocarcinoma

Translational screening platform to evaluate chemotherapy in combination with focal therapy for retinoblastoma

Liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) methods for the therapeutic drug monitoring of cytotoxic anticancer drugs: An update

Antibodies expand the scope of angiotensin receptor pharmacology

Artificial intelligence for natural product drug discovery

Solid-phase peptide synthesis in 384-well plates

Modeling tumor size dynamics based on real-world electronic health records and image data in advanced melanoma patients receiving immunotherapy

Structural Basis of the Allosteric Inhibition of Human ABCG2 by Nanobodies

Identification and Quantification of Multiple Drugs by Machine Learning on Electrochemical Sensors for Therapeutic Drug Monitoring

Unveiling the complex phonon nature and phonon cascades in 1L to 5L WSe2 using multiwavelength excitation Raman scattering

Cancer hallmarks intersect with neuroscience in the tumor microenvironment

Metabolic dependencies of metastasis-initiating cells in breast cancer

Porphyrin metalla-assemblies coupled to cellulose nanocrystals for PDT and imaging applications

Computational drug development for membrane protein targets

Controlling crystal cleavage in focused ion beam shaped specimens for surface spectroscopy

Scale-Aware Test-Time Click Adaptation for Pulmonary Nodule and Mass Segmentation

Controlling On-Surface Photoactivity: The Impact of π-Conjugation in Anhydride-Functionalized Molecules on a Semiconductor Surface

Optimized Modeling of Metastatic Triple-Negative Invasive Lobular Breast Carcinoma